The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-08"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "19637506 (up from 19378036 yesterday: 1.34 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "726781 (up from 721324 yesterday: 0.76 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5344584

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.7



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 4997929 56174 1.14 1286516 162423 1076 0.67 3.25
Brazil 3012412 49970 1.69 937552 100477 905 0.91 3.34
India 2153010 64399 3.08 1075229 43379 861 2.03 2.01
Russia 880563 5185 0.59 116348 14827 129 0.88 1.68
South Africa 553188 7712 1.41 202309 10210 301 3.04 1.85
Mexico 475902 6495 1.38 136989 52006 695 1.35 10.93
Peru 463875 0 0.00 114375 20649 0 0.00 4.45
Colombia 376870 9666 2.63 186170 12540 290 2.37 3.33
Chile 371023 2198 0.60 42177 10011 53 0.53 2.70
Iran 324692 2125 0.66 53086 18264 132 0.73 5.63
Spain 314362 0 0.00 54107 28503 0 0.00 9.07
United Kingdom 311461 765 0.25 15829 46651 55 0.12 14.98
Saudi Arabia 287262 1469 0.51 38846 3130 37 1.20 1.09
Pakistan 283487 842 0.30 19991 6068 16 0.26 2.14
Bangladesh 255113 2611 1.03 53047 3365 32 0.96 1.32
Italy 250103 347 0.14 5887 35203 13 0.04 14.08
Argentina 241811 6134 2.60 119287 4523 112 2.54 1.87
Turkey 239622 1172 0.49 20905 5829 16 0.28 2.43
France 235208 1 0.00 23265 30327 0 0.00 12.89
Germany 216903 707 0.33 14477 9201 6 0.07 4.24
Iraq 147389 3325 2.31 57169 5310 74 1.41 3.60
Philippines 126885 4131 3.37 61581 2209 41 1.89 1.74
Indonesia 123503 2277 1.88 38621 5658 65 1.16 4.58
Canada 121148 245 0.20 9273 9024 7 0.08 7.45
Qatar 112650 267 0.24 6342 182 2 1.11 0.16
Kazakhstan 98701 872 0.89 29998 1058 0 0.00 1.07
Egypt 95314 167 0.18 8142 4992 21 0.42 5.24
Ecuador 93572 1603 1.74 20190 5916 19 0.32 6.32
Bolivia 89055 1164 1.32 30917 3587 63 1.79 4.03
China 88672 92 0.10 3358 4681 0 0.00 5.28
Israel 82324 1333 1.65 32959 593 12 2.07 0.72
Sweden 82323 0 0.00 5042 5763 0 0.00 7.00
Ukraine 81534 1516 1.89 22201 1906 27 1.44 2.34
Oman 81357 290 0.36 15853 509 7 1.39 0.63
Dominican Republic 78778 1069 1.38 27259 1289 30 2.38 1.64
Panama 73651 1091 1.50 21390 1609 18 1.13 2.18
Belgium 73401 617 0.85 9695 9870 4 0.04 13.45
Kuwait 71199 472 0.67 12295 474 3 0.64 0.67
Belarus 68738 124 0.18 2785 585 2 0.34 0.85
United Arab Emirates 62300 239 0.39 5589 356 0 0.00 0.57
Romania 60623 1350 2.28 23932 2659 43 1.64 4.39
Netherlands 58717 600 1.03 6908 6178 4 0.06 10.52
Guatemala 56189 919 1.66 18147 2197 29 1.34 3.91
Singapore 54929 132 0.24 7274 27 0 0.00 0.05
Portugal 52537 186 0.36 4147 1750 4 0.23 3.33
Poland 51167 843 1.68 11421 1800 13 0.73 3.52
Japan 47342 1578 3.45 22396 1042 0 0.00 2.20
Honduras 46973 608 1.31 14180 1476 11 0.75 3.14
Nigeria 46140 453 0.99 10033 942 6 0.64 2.04
Bahrain 43629 322 0.74 7625 161 2 1.26 0.37
Ghana 40533 436 1.09 13473 206 0 0.00 0.51
Armenia 40185 200 0.50 5723 785 8 1.03 1.95
Kyrgyzstan 39571 409 1.04 14965 1459 8 0.55 3.69
Afghanistan 37054 39 0.11 1753 1312 5 0.38 3.54
Switzerland 36451 182 0.50 2959 1986 0 0.00 5.45
Algeria 34693 538 1.58 12144 1293 11 0.86 3.73
Azerbaijan 33481 105 0.31 6348 488 5 1.04 1.46
Morocco 32007 1345 4.39 14992 480 19 4.12 1.50
Uzbekistan 29652 595 2.05 13466 187 6 3.31 0.63
Serbia 27863 255 0.92 7365 632 6 0.96 2.27
Moldova 27443 453 1.68 6649 841 6 0.72 3.06
Ireland 26644 174 0.66 894 1772 0 0.00 6.65
Kenya 25837 699 2.78 13087 418 5 1.21 1.62
Venezuela 24961 795 3.29 13478 215 7 3.37 0.86
Costa Rica 22802 721 3.27 12251 228 10 4.59 1.00
Nepal 22592 378 1.70 5090 73 3 4.29 0.32
Ethiopia 22253 801 3.73 13106 390 10 2.63 1.75
Austria 21919 82 0.38 2346 721 1 0.14 3.29
Australia 21084 386 1.86 9282 295 17 6.12 1.40
El Salvador 19978 434 2.22 8470 536 16 3.08 2.68
Czechia 18235 175 0.97 4380 389 0 0.00 2.13
Cameroon 18042 324 1.83 1885 395 4 1.02 2.19
Cote d’Ivoire 16620 96 0.58 2708 104 0 0.00 0.63
Denmark 14751 4 0.03 1377 617 0 0.00 4.18
Korea, South 14598 36 0.25 853 305 1 0.33 2.09
West Bank and Gaza 13928 206 1.50 5724 96 2 2.13 0.69
Bosnia and Herzegovina 13687 0 0.00 5526 394 0 0.00 2.88
Bulgaria 13343 134 1.01 4705 445 3 0.68 3.34
Madagascar 12922 214 1.68 6073 141 6 4.44 1.09
Sudan 11894 0 0.00 1212 773 0 0.00 6.50
North Macedonia 11754 200 1.73 2728 523 4 0.77 4.45
Senegal 11003 116 1.07 2334 229 4 1.78 2.08

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 554388 7574 1.39 173643 10307 174 1.72 1.86 14030.80 260.86 1 in 71
Florida 526577 8502 1.64 189008 8109 182 2.30 1.54 24517.34 377.55 1 in 41
Texas 497632 6328 1.29 170526 9058 211 2.38 1.82 17162.16 312.39 1 in 58
New York 420345 703 0.17 14040 32768 8 0.02 7.80 21607.61 1684.42 1 in 46
Georgia 213427 4423 2.12 73547 4186 69 1.68 1.96 20101.58 394.26 1 in 50
Illinois 193998 2190 1.14 32213 7840 18 0.23 4.04 15309.40 618.70 1 in 65
Arizona 186107 1054 0.57 44842 4137 56 1.37 2.22 24439.87 543.28 1 in 41
New Jersey 184429 368 0.20 7615 15869 20 0.13 8.60 20763.91 1786.61 1 in 48
North Carolina 134948 1611 1.21 36856 2184 24 1.11 1.62 12866.79 208.24 1 in 78
Louisiana 128746 0 0.00 40156 4207 0 0.00 3.27 27694.49 904.97 1 in 36
Pennsylvania 122665 637 0.52 17885 7310 14 0.19 5.96 9581.71 571.01 1 in 104
Massachusetts 120711 420 0.35 7473 8721 12 0.14 7.22 17369.73 1254.91 1 in 58
Tennessee 120585 1803 1.52 44249 1215 9 0.75 1.01 17647.00 177.81 1 in 57
Alabama 100173 1872 1.90 34939 1755 20 1.15 1.75 20430.19 357.93 1 in 49
Ohio 99969 1294 1.31 26148 3668 16 0.44 3.67 8552.33 313.80 1 in 117
South Carolina 99460 1241 1.26 31848 2007 45 2.29 2.02 19317.45 389.81 1 in 52
Virginia 99189 1307 1.34 22816 2322 5 0.22 2.34 11620.73 272.04 1 in 86
Michigan 96191 721 0.76 14853 6520 -4 -0.06 6.78 9631.76 652.86 1 in 104
Maryland 94581 775 0.83 17375 3577 12 0.34 3.78 15644.39 591.66 1 in 64
Indiana 73287 1033 1.43 17633 3036 13 0.43 4.14 10886.01 450.97 1 in 92
Mississippi 66646 1210 1.85 24800 1874 26 1.41 2.81 22393.37 629.67 1 in 45
Washington 62523 936 1.52 16497 1688 16 0.96 2.70 8210.62 221.67 1 in 122
Minnesota 60101 916 1.55 14631 1689 8 0.48 2.81 10656.90 299.49 1 in 94
Wisconsin 59933 1165 1.98 18448 996 6 0.61 1.66 10293.46 171.06 1 in 97
Missouri 58021 184 0.32 25317 1327 3 0.23 2.29 9453.63 216.21 1 in 106
Nevada 55419 886 1.62 20942 949 29 3.15 1.71 17992.27 308.10 1 in 56
Connecticut 50320 0 0.00 2427 4441 0 0.00 8.83 14113.87 1245.62 1 in 71
Colorado 50306 431 0.86 10536 1857 0 0.00 3.69 8735.60 322.47 1 in 114
Arkansas 48811 772 1.61 16278 535 14 2.69 1.10 16174.23 177.28 1 in 62
Iowa 48535 495 1.03 10222 927 12 1.31 1.91 15383.18 293.81 1 in 65
Utah 43751 376 0.87 10419 335 0 0.00 0.77 13646.78 104.49 1 in 73
Oklahoma 43080 825 1.95 18023 603 3 0.50 1.40 10887.12 152.39 1 in 92
Kentucky 34578 782 2.31 12394 772 8 1.05 2.23 7739.60 172.80 1 in 129
Kansas 30463 326 1.08 8770 380 1 0.26 1.25 10456.48 130.44 1 in 96
Nebraska 28245 141 0.50 5764 345 0 0.00 1.22 14601.37 178.35 1 in 68
Idaho 24497 572 2.39 10194 235 6 2.62 0.96 13669.71 131.13 1 in 73
New Mexico 22115 150 0.68 5379 681 6 0.89 3.08 10546.88 324.78 1 in 95
Puerto Rico 21424 738 3.57 9971 274 9 3.40 1.28 6708.22 85.79 1 in 149
Oregon 21010 375 1.82 6861 355 7 2.01 1.69 4981.34 84.17 1 in 201
Rhode Island 19738 0 0.00 1945 1014 0 0.00 5.14 18631.99 957.18 1 in 54
Delaware 15502 57 0.37 2073 590 2 0.34 3.81 15919.67 605.90 1 in 63
District of Columbia 12653 64 0.51 1459 590 1 0.17 4.66 17928.47 835.99 1 in 56
South Dakota 9477 106 1.13 1615 146 2 1.39 1.54 10712.60 165.04 1 in 93
West Virginia 7563 111 1.49 2669 131 4 3.15 1.73 4231.88 73.30 1 in 236
North Dakota 7508 181 2.47 2601 112 2 1.82 1.49 9852.22 146.97 1 in 102
New Hampshire 6818 39 0.58 630 419 0 0.00 6.15 5014.30 308.15 1 in 199
Montana 4889 132 2.77 2418 75 5 7.14 1.53 4574.38 70.17 1 in 219
Maine 4028 12 0.30 383 125 1 0.81 3.10 2996.55 92.99 1 in 334
Alaska 3613 77 2.18 1817 26 1 4.00 0.72 4938.86 35.54 1 in 202
Hawaii 3346 231 7.42 1992 31 0 0.00 0.93 2363.21 21.89 1 in 423
Wyoming 3015 15 0.50 907 28 0 0.00 0.93 5209.42 48.38 1 in 192
Vermont 1454 6 0.41 116 58 0 0.00 3.99 2330.17 92.95 1 in 429

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 8707527 554388 6.37 2540309 173643 6.84 220375.53
2 Florida 3945872 526577 13.35 1013884 189008 18.64 183719.17
3 Texas 4012657 497632 12.40 1169972 170526 14.58 138387.14
4 New York 6443832 420345 6.52 1374566 14040 1.02 331241.77
5 Georgia 1797966 213427 11.87 566160 73547 12.99 169341.09
6 Illinois 3033934 193998 6.39 820361 32213 3.93 239423.68
7 Arizona 1016521 186107 18.31 244530 44842 18.34 133491.17
8 New Jersey 2252792 184429 8.19 471342 7615 1.62 253630.24
9 North Carolina 1969766 134948 6.85 590623 36856 6.24 187809.90
10 Louisiana 1505002 128746 8.55 461062 40156 8.71 323740.31
11 Pennsylvania 1333057 122665 9.20 320330 17885 5.58 104128.90
12 Massachusetts 1302744 120711 9.27 275911 7473 2.71 187458.59
13 Tennessee 1685486 120585 7.15 511834 44249 8.65 246662.24
14 Alabama 749502 100173 13.37 175007 34939 19.96 152860.23
15 Ohio 1644493 99969 6.08 506057 26148 5.17 140686.02
16 South Carolina 778075 99460 12.78 216082 31848 14.74 151120.26
17 Virginia 1223028 99189 8.11 333327 22816 6.84 143286.89
18 Michigan 2075121 96191 4.64 619043 14853 2.40 207785.19
19 Maryland 1019523 94581 9.28 298537 17375 5.82 168636.61
20 Indiana 828466 73287 8.85 214011 17633 8.24 123059.87
21 Mississippi 493590 66646 13.50 116305 24800 21.32 165848.55
22 Washington 1011694 62523 6.18 244037 16497 6.76 132857.28
23 Minnesota 921397 60101 6.52 85435 14631 17.13 163378.92
24 Wisconsin 1051158 59933 5.70 282416 18448 6.53 180535.84
25 Missouri 752740 58021 7.71 201864 25317 12.54 122647.47
26 Nevada 513019 55419 10.80 130482 20942 16.05 166556.17
27 Connecticut 864633 50320 5.82 234664 2427 1.03 242514.28
28 Colorado 579131 50306 8.69 148348 10536 7.10 100565.64
29 Arkansas 551523 48811 8.85 138518 16278 11.75 182755.13
30 Iowa 513547 48535 9.45 109818 10222 9.31 162768.81
31 Utah 566355 43751 7.73 110115 10419 9.46 176657.02
32 Oklahoma 693565 43080 6.21 217834 18023 8.27 175276.75
33 Kentucky 648435 34578 5.33 158234 12394 7.83 145139.32
34 Kansas 316512 30463 9.62 67159 8770 13.06 108643.28
35 Nebraska 297538 28245 9.49 66387 5764 8.68 153813.47
36 Idaho 202971 24497 12.07 60466 10194 16.86 113260.96
37 New Mexico 612854 22115 3.61 160556 5379 3.35 292276.58
39 Oregon 438067 21010 4.80 107274 6861 6.40 103863.04
40 Rhode Island 217973 19738 9.06 38772 1945 5.02 205758.94
41 Delaware 195894 15502 7.91 45137 2073 4.59 201171.95
42 District of Columbia 213334 12653 5.93 68379 1459 2.13 302280.27
43 South Dakota 119987 9477 7.90 22740 1615 7.10 135630.79
44 West Virginia 317920 7563 2.38 92409 2669 2.89 177892.47
45 North Dakota 167367 7508 4.49 35852 2601 7.25 219623.86
46 New Hampshire 171251 6818 3.98 29465 630 2.14 125946.62
47 Montana 188846 4889 2.59 56967 2418 4.24 176693.38
48 Maine 186401 4028 2.16 51472 383 0.74 138669.35
49 Alaska 273593 3613 1.32 105230 1817 1.73 373993.40
50 Hawaii 139246 3346 2.40 36251 1992 5.50 98346.46
51 Wyoming 56638 3015 5.32 12603 907 7.20 97861.11
52 Vermont 101803 1454 1.43 21357 116 0.54 163148.71

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 503084 0 0.00 338362 67.26 147048 17367 0 0.00 3.45
Tamil Nadu 296901 5994 2.06 238638 80.38 53336 4927 119 2.48 1.66
Andhra Pradesh 227860 10820 4.99 138712 60.88 87112 2036 97 5.00 0.89
Karnataka 178087 5985 3.48 93908 52.73 80972 3198 107 3.46 1.80
Delhi 145427 1300 0.90 130587 89.80 10729 4111 13 0.32 2.83
Uttar Pradesh 122609 4571 3.87 72650 59.25 47890 2069 41 2.02 1.69
West Bengal 95554 2939 3.17 67120 70.24 26375 2059 54 2.69 2.15
Bihar 79720 3934 5.19 51315 64.37 27975 429 10 2.39 0.54
Telangana 79495 1982 2.56 55999 70.44 22869 627 12 1.95 0.79
Gujarat 71064 1078 1.54 54238 76.32 14174 2652 25 0.95 3.73
Assam 57715 0 0.00 40592 70.33 16980 140 0 0.00 0.24
Rajasthan 51924 596 1.16 37293 71.82 13847 784 6 0.77 1.51
Odisha 45927 1734 3.92 31785 69.21 13821 321 14 4.56 0.70
Haryana 41635 792 1.94 34781 83.54 6371 483 9 1.90 1.16
Madhya Pradesh 39025 868 2.27 29020 74.36 9009 996 19 1.94 2.55
Kerala 34331 1211 3.66 21832 63.59 12347 109 2 1.87 0.32
Jammu and Kashmir 24897 507 2.08 17003 68.29 7422 472 13 2.83 1.90
Punjab 23903 975 4.25 15319 64.09 7998 586 24 4.27 2.45
Jharkhand 17626 158 0.90 8391 47.61 9067 168 8 5.00 0.95
Chhattisgarh 11855 0 0.00 8582 72.39 3183 90 0 0.00 0.76
Uttarakhand 9632 230 2.45 6134 63.68 3334 125 8 6.84 1.30
Goa 8712 506 6.17 5995 68.81 2642 75 3 4.17 0.86
Tripura 6161 147 2.44 4176 67.78 1926 41 4 10.81 0.67
Puducherry 5382 259 5.06 3201 59.48 2094 87 7 8.75 1.62
Manipur 3753 118 3.25 2044 54.46 1698 11 0 0.00 0.29
Himachal Pradesh 3334 70 2.14 2128 63.83 1164 14 1 7.69 0.42
Nagaland 2781 93 3.46 904 32.51 1866 8 1 14.29 0.29
Arunachal Pradesh 2117 0 0.00 1430 67.55 684 3 0 0.00 0.14
Ladakh 1639 0 0.00 1214 74.07 416 9 0 0.00 0.55
Dadra and Nagar Haveli and Daman and Diu 1555 45 2.98 1117 71.83 424 2 0 0.00 0.13
Chandigarh 1515 89 6.24 904 59.67 585 25 1 4.17 1.65
Andaman and Nicobar Islands 1351 0 0.00 500 37.01 831 20 0 0.00 1.48
Meghalaya 1062 39 3.81 490 46.14 566 6 0 0.00 0.56
Sikkim 860 0 0.00 417 48.49 442 1 0 0.00 0.12
Mizoram 608 41 7.23 298 49.01 310 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1358872 96782 76 0.08 7.12 162 9 5547 16832 17.39
Piemonte 519034 31830 31 0.10 6.13 87 3 790 4136 12.99
Emilia-Romagna 722280 30052 44 0.15 4.16 81 4 1712 4294 14.29
Veneto 1309917 20598 63 0.31 1.57 29 6 1228 2083 10.11
Toscana 447250 10583 23 0.22 2.37 14 1 457 1137 10.74
Liguria 199248 10276 4 0.04 5.16 20 1 214 1569 15.27
Lazio 437898 8784 20 0.23 2.01 189 8 1017 866 9.86
Marche 175022 6938 3 0.04 3.96 14 0 156 987 14.23
Campania 347947 5055 5 0.10 1.45 32 2 372 438 8.66
P.A. Trento 161775 4993 1 0.02 3.09 5 0 79 405 8.11
Puglia 254939 4705 9 0.19 1.85 27 0 178 554 11.77
Abruzzo 134980 3486 12 0.35 2.58 24 1 197 472 13.54
Friuli Venezia Giulia 267861 3442 6 0.17 1.28 11 3 160 346 10.05
Sicilia 294383 3424 28 0.82 1.16 37 4 397 284 8.29
P.A. Bolzano 112928 2766 5 0.18 2.45 8 0 123 292 10.56
Umbria 127488 1498 10 0.67 1.18 8 0 42 80 5.34
Sardegna 112611 1433 0 0.00 1.27 6 0 54 134 9.35
Calabria 127309 1287 4 0.31 1.01 9 1 101 97 7.54
Valle d’Aosta 22340 1216 2 0.16 5.44 5 0 19 146 12.01
Molise 29006 479 0 0.00 1.65 1 0 35 23 4.80
Basilicata 49119 476 1 0.21 0.97 2 0 75 28 5.88

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 60367 126 0.21 5692 5 0.09 9.43 7070.66 666.69 1 in 141
Ontario 41894 79 0.19 2831 2 0.07 6.76 2847.64 192.43 1 in 351
Alberta 11430 0 0.00 208 0 0.00 1.82 2589.99 47.13 1 in 386
British Columbia 3934 0 0.00 195 0 0.00 4.96 769.72 38.15 1 in 1299
Saskatchewan 1433 24 1.70 20 0 0.00 1.40 1212.69 16.93 1 in 825
Nova Scotia 1071 0 0.00 64 0 0.00 5.98 1095.70 65.48 1 in 913
Manitoba 507 16 3.26 8 0 0.00 1.58 368.05 5.81 1 in 2717
Newfoundland and Labrador 267 0 0.00 3 0 0.00 1.12 512.12 5.75 1 in 1953
New Brunswick 176 0 0.00 2 0 0.00 1.14 225.64 2.56 1 in 4432
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4007 47 1.17
Guangdong 1693 8 0.47
Henan 1276 22 1.72
Zhejiang 1272 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Beijing 935 9 0.96
Jiangxi 932 1 0.11
Xinjiang 839 3 0.36
Shandong 806 7 0.87
Shanghai 768 7 0.91
Jiangsu 659 0 0.00
Sichuan 611 3 0.49
Chongqing 583 6 1.03
Fujian 367 1 0.27
Hebei 349 6 1.72
Shaanxi 328 3 0.91
Liaoning 259 2 0.77
Inner Mongolia 258 1 0.39
Guangxi 255 2 0.78
Tianjin 205 3 1.46
Shanxi 201 0 0.00
Yunnan 191 2 1.05
Hainan 171 6 3.51
Gansu 167 2 1.20
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 15274.84 496.40 1 in 65
Brazil 14392.80 480.06 1 in 69
India 1607.92 32.40 1 in 622
Russia 6093.86 102.61 1 in 164
South Africa 9752.96 180.01 1 in 103
Mexico 3683.45 402.52 1 in 271
Peru 14419.49 641.87 1 in 69
Colombia 7680.25 255.55 1 in 130
Chile 20555.29 554.63 1 in 49
Iran 4000.64 225.04 1 in 250
Spain 6737.29 610.87 1 in 148
United Kingdom 4687.85 702.15 1 in 213
Saudi Arabia 8720.77 95.02 1 in 115
Pakistan 1439.02 30.80 1 in 695
Bangladesh NA NA 1 in NA
Italy 4135.30 582.06 1 in 242
Argentina 5462.19 102.17 1 in 183
Turkey 2965.25 72.13 1 in 337
France 3511.09 452.71 1 in 285
Germany 2619.92 111.14 1 in 382

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 227584 23575 10.36
Los Angeles California 206778 4967 2.40
Miami-Dade Florida 131217 1838 1.40
Maricopa Arizona 125545 2347 1.87
Cook Illinois 110865 4924 4.44
Harris Texas 84600 1562 1.85
Broward Florida 61614 789 1.28
Dallas Texas 53831 751 1.40
Clark Nevada 47739 799 1.67
Suffolk New York 43749 1998 4.57
Nassau New York 43628 2194 5.03
Bexar Texas 42531 773 1.82
Riverside California 40452 799 1.98
Orange California 39076 720 1.84
Palm Beach Florida 36600 929 2.54
Westchester New York 36180 1447 4.00
San Bernardino California 35452 502 1.42
Hillsborough Florida 32268 388 1.20
San Diego California 31779 586 1.84
Orange Florida 31395 297 0.95
Philadelphia Pennsylvania 31120 1698 5.46
Tarrant Texas 30922 445 1.44
Wayne Michigan 28090 2826 10.06
Middlesex Massachusetts 26345 2002 7.60
Prince George’s Maryland 23554 751 3.19
Duval Florida 23166 188 0.81
Shelby Tennessee 22916 301 1.31
Kern California 22626 171 0.76
Travis Texas 22602 298 1.32
Mecklenburg North Carolina 22066 226 1.02
Suffolk Massachusetts 21778 1073 4.93
Milwaukee Wisconsin 20920 456 2.18
Bergen New Jersey 20751 2038 9.82
Salt Lake Utah 20446 189 0.92
Davidson Tennessee 20383 213 1.04
Fulton Georgia 20049 430 2.14
Essex New Jersey 19715 2111 10.71
Hudson New Jersey 19641 1504 7.66
Gwinnett Georgia 19548 260 1.33
Hidalgo Texas 19534 790 4.04
Hennepin Minnesota 19057 831 4.36
Montgomery Maryland 18260 802 4.39
Franklin Ohio 18182 523 2.88
Fairfield Connecticut 17956 1408 7.84
Middlesex New Jersey 17884 1403 7.85
Essex Massachusetts 17789 1192 6.70
Pima Arizona 17728 489 2.76
Pinellas Florida 17725 497 2.80
Passaic New Jersey 17623 1239 7.03
Fresno California 17031 171 1.00
Union New Jersey 16663 1350 8.10
King Washington 16439 674 4.10
Lee Florida 16431 334 2.03
Fairfax Virginia 16302 529 3.25
Cameron Texas 16290 425 2.61
Out of GA Georgia 16119 91 0.56
El Paso Texas 16040 291 1.81
Marion Indiana 15701 725 4.62
Oakland Michigan 15427 1129 7.32
Jefferson Louisiana 15103 523 3.46
Providence Rhode Island 15047 0 0.00
St. Louis Missouri 14666 663 4.52
Polk Florida 14124 312 2.21
Nueces Texas 14073 234 1.66
Rockland New York 13936 674 4.84
DeKalb Georgia 13752 237 1.72
Worcester Massachusetts 13602 1000 7.35
Cuyahoga Ohio 13414 499 3.72
Cobb Georgia 13336 319 2.39
Alameda California 13213 208 1.57
New Haven Connecticut 13145 1104 8.40
Baltimore Maryland 13060 561 4.30
Jefferson Alabama 12969 243 1.87
Hartford Connecticut 12761 1415 11.09
District of Columbia District of Columbia 12653 590 4.66
Lake Illinois 12617 446 3.53
Baltimore City Maryland 12375 428 3.46
San Joaquin California 12303 211 1.72
Charleston South Carolina 12213 194 1.59
DuPage Illinois 12155 520 4.28
East Baton Rouge Louisiana 11946 344 2.88
Wake North Carolina 11906 168 1.41
Yuma Arizona 11512 286 2.48
Santa Clara California 11475 203 1.77
Douglas Nebraska 11190 132 1.18
Orange New York 11156 491 4.40
Greenville South Carolina 10819 206 1.90
Sacramento California 10795 161 1.49
Orleans Louisiana 10637 562 5.28
Norfolk Massachusetts 10601 997 9.40
Ocean New Jersey 10585 1018 9.62
Tulare California 10475 196 1.87
Oklahoma Oklahoma 10424 112 1.07
Tulsa Oklahoma 10389 107 1.03
Macomb Michigan 10339 946 9.15
Monmouth New Jersey 10284 856 8.32
Yakima Washington 10269 212 2.06
Collier Florida 10265 133 1.30
Polk Iowa 10223 207 2.02
Denver Colorado 10173 414 4.07

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc